Langlotz C P, Even-Shoshan O, Seshadri S S, Brikman I, Kishore S, Kundel H L, Schwartz J S
Department of Radiology, University of Pennsylvania, Philadelphia 19104, USA.
J Digit Imaging. 1995 May;8(2):95-102. doi: 10.1007/BF03168132.
Most economic studies of picture archiving and communication systems (PACS) to date, including our own, have focused on the perspectives of the radiology department and its direct costs. However, many researchers have suggested additional cost savings that may accrue to the medical center as a whole through increased operational capacity, fewer lost images, rapid simultaneous access to images, and other decreases in resource utilization. We describe here an economic analysis framework we have developed to estimate these potential additional savings. Our framework is comprised of two parallel measurement methods. The first method estimates the cost of care actually delivered through online capture of charge entries from the hospital's billing computer and from the clinical practices' billing database. Multiple regression analyses will be used to model cost of care, length of stay, and other estimates of resource utilization. The second method is the observational measurement of actual resource utilization, such as technologist time, frequency and duration of film searches, and equipment utilization rates. The costs associated with changes in resource use will be estimated using wage rates and other standard economic methods. Our working hypothesis is that after controlling for the underlying clinical and demographic differences among patients, patients imaged using a PACS will have shorter lengths of stay, shorter exam performance times, and decreased costs of care. We expect the results of our analysis to explain and resolve some of the conflicting views of the cost-effectiveness of PACS.
迄今为止,包括我们自己的研究在内,大多数关于图像存档与通信系统(PACS)的经济学研究都集中在放射科的视角及其直接成本上。然而,许多研究人员提出,通过提高运营能力、减少图像丢失、快速同时获取图像以及其他资源利用方面的减少,整个医疗中心可能会实现额外的成本节约。我们在此描述我们开发的一个经济分析框架,用于估算这些潜在的额外节约。我们的框架由两种并行的测量方法组成。第一种方法通过从医院计费计算机和临床实践计费数据库中在线获取收费记录来估算实际提供的护理成本。多元回归分析将用于建立护理成本、住院时间和其他资源利用估算的模型。第二种方法是对实际资源利用情况进行观察测量,例如技术人员时间、胶片查找的频率和持续时间以及设备利用率。与资源使用变化相关的成本将使用工资率和其他标准经济方法进行估算。我们的工作假设是,在控制患者之间潜在的临床和人口统计学差异之后,使用PACS成像的患者住院时间会更短、检查执行时间更短且护理成本会降低。我们期望我们的分析结果能够解释并解决关于PACS成本效益的一些相互矛盾的观点。